Dynamic Risk Analysis in Retrospective Matched Pair Studies of Disease

It has been shown how a general population model of an exponentially changing risk of disease may be tested against retrospective matched pair data. In the illustrative analysis of breast cancer data it was found that the risk of breast cancer increased exponentially at a greater rate during menstrual years than during other phases of life. Analysis of proportional risk functions and linear risk functions, as well as the extension of exponential risk functions to more than one variable, were discussed.